About this document
ML Test Score: Production Readiness Rubric by Marc Joel is a document available to read on EtoBox.
The paper presents a rubric consisting of 28 specific tests for assessing the production readiness and technical debt of machine learning (ML) systems, emphasizing the importance of testing and monitoring in ensuring reliability. It highlights the unique challenges of ML testing compared to traditional software engineering, including the need for tests related to data features and model development. The authors provide actionable advice based on extensive experience with production ML systems at Google, aim
- Author
- Marc Joel
- Language
- EN